<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Objectives. Body fat content, fat distribution, and adiponectin level are important variables in the development of obesity related complications. Anthropometric indices may provide an economic and faster method in measuring the risk for complications through their predictive effect of fat distribution and adiponectin concentration. We aimed to determine, which of the waist circumference (WC), waist-to-hip ratio (WHR), and body mass index (BMI) may be the best predictor for the total fat percentage (WF), visceral fat level (VF), and subcutaneous whole-body fat (SCWBF). We aimed also to investigate the potential use of the anthropometric measures and fat distribution as predictors for the salivary adiponectin level in the healthy adult males. Subjects. A total of 88 adult males aged between 18−25 years with a wide range of BMI were studied. Anthropometric indices were measured using standardized methods and salivary adiponectin level was assessed using an enzyme-linked immunosorbent assay. Results. In path analysis of the Structural Equation Model (SEM) using IBM@SPSS AMOS, version22, BMI and WC, but not WHR, were strong predictors for WF and SCWBF (p&lt;0.05). BMI but not WC was a strong predictor for VF (p&lt;0.001). WF was strong predictor for SCWBF (p&lt;0.001), but not for VF. BMI, WC, WHR, WF, VF, and SCWBF were poor predictors of the salivary adiponectin level. Conclusion. BMI is the best predictor for the total body fat and fat distribution. However, WHR seems to be of a little value and the salivary adiponectin level independent of BMI and body fat in healthy adult Malay males.</p></abstract>

Objectives. Body fat content, fat distribution, and adiponectin level are important variables in the development of obesity related complications. Anthropometric indices may provide an economic and faster method in measuring the risk for complications through their predictive effect of fat distribution and adiponectin concentration. We aimed to determine, which of the waist circumference (WC), waist-to-hip ratio (WHR), and body mass index (BMI) may be the best predictor for the total fat percentage (WF), visceral fat level (VF), and subcutaneous whole-body fat (SCWBF). We aimed also to investigate the potential use of the anthropometric measures and fat distribution as predictors for the salivary adiponectin level in the healthy adult males. Subjects. A total of 88 adult males aged between 18−25 years with a wide range of BMI were studied. Anthropometric indices were measured using standardized methods and salivary adiponectin level was assessed using an enzyme-linked immunosorbent assay. Results. In path analysis of the Structural Equation Model (SEM) using IBM@SPSS AMOS, version22, BMI and WC, but not WHR, were strong predictors for WF and SCWBF (p<0.05). BMI but not WC was a strong predictor for VF (p<0.001). WF was strong predictor for SCWBF (p<0.001), but not for VF. BMI, WC, WHR, WF, VF, and SCWBF were poor predictors of the salivary adiponectin level. Conclusion. BMI is the best predictor for the total body fat and fat distribution. However, WHR seems to be of a little value and the salivary adiponectin level independent of BMI and body fat in healthy adult Malay males.

Salivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution

Endocrine Regulations

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Objectives. Body fat content, fat distribution, and adiponectin level are important variables in the development of obesity related complications....

Salivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution

Publicado en línea: 12 dic 2017

Páginas: 185 - 192

DOI: https://doi.org/10.1515/enr-2017-0019

Palabras clave
adiponectin, body mass index, waist-to-hip ratio, visceral fat, subcutaneous fat, structural equation modeling

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Salivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution

Publicado en línea: 12 dic 2017

Páginas: 185 - 192

DOI: https://doi.org/10.1515/enr-2017-0019

Palabras claveadiponectin, body mass index, waist-to-hip ratio, visceral fat, subcutaneous fat, structural equation modeling

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Palabras clave
adiponectin, body mass index, waist-to-hip ratio, visceral fat, subcutaneous fat, structural equation modeling